Triple

T19805524
Position Surface form Disambiguated ID Type / Status
Subject Fier E475801 entity
Predicate nearby P350 FINISHED
Object Apollonia NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Apollonia | Statement: [Fier, nearby, Apollonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollonia
Context triple: [Fier, nearby, Apollonia]
  • A. Apollonia
    Apollonia is the main town and administrative center of the Greek island of Siphnos in the Cyclades.
  • B. Apollonia
    Apollonia was an ancient city in the region of Pisidia, in what is now southwestern Turkey, known as a Hellenistic and later Roman urban center.
  • C. Apollonia
    Apollonia is a settlement within the Municipality of Volvi in the Central Macedonia region of northern Greece, known for its rural character and proximity to Lake Volvi.
  • D. Apollonia
    Apollonia is an ancient coastal city and archaeological site in present-day Israel, known for its Hellenistic, Roman, and Crusader remains overlooking the Mediterranean Sea.
  • E. Apollonia chosen
    Apollonia is an ancient Greek city and archaeological site in modern-day Albania, renowned for its well-preserved ruins and historical significance as a major classical center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428081c8190b394c442f4c2a9a6 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.